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基于兰姆波的板状结构中声发射源深度特征的反演算法。

Inversion algorithm for Lamb-wave-based depth characterization of acoustic emission sources in plate-like structures.

机构信息

Department of Civil, Architectural and Environmental Engineering, University of Texas at Austin, 301E E Dean Keeton St, Austin, TX 78712, USA.

Department of Civil, Architectural and Environmental Engineering, University of Texas at Austin, 301E E Dean Keeton St, Austin, TX 78712, USA.

出版信息

Ultrasonics. 2019 Nov;99:105975. doi: 10.1016/j.ultras.2019.105975. Epub 2019 Aug 8.

Abstract

An inversion algorithm (termed AEDep) is proposed for estimating the depth of acoustic emission (AE) sources in plate-like structural components. The work is motivated by the need for characterizing early-stage fatigue crack growth in such components. The algorithm achieves depth estimation by automatically extracting the depth-dependent amplitude ratio between the fundamental Lamb modes which comprise the AE signals. A finite element model is designed to study the frequency-dependent forward problem of Lamb wave motion due to a given source, from which the relation between source depth and amplitude ratio is established. Elastodynamic theory is used to validate the model in the frequency domain, as well as to derive a sensor tuning factor which may be incorporated into the solution. The proposed algorithm was tested on two plate-like specimens: a 6061-T6 aluminum plate and a 2025-T6 aluminum aircraft fuselage panel. Validation of the algorithm was achieved by generating controlled AE sources at various depths along the edges of the specimens, in the form of Hsu-Nielsen pencil lead breaks. Good agreement was found in the aluminum plate between the true and estimated source depths. A slight decrease in accuracy was found in the fuselage panel between the true values and their estimations. However, both experimental cases demonstrated the ability to distinguish between sources originating near the mid-plane of a plate-like structure from those near the surface. Lastly, the fast computation of the inversion algorithm shows strong potential for real-time monitoring applications.

摘要

提出了一种反演算法(称为 AEDep),用于估计板状结构构件中声发射(AE)源的深度。这项工作的动机是需要对这些构件中的早期疲劳裂纹扩展进行特征描述。该算法通过自动提取构成 AE 信号的基本兰姆模式之间随深度变化的幅度比来实现深度估计。设计了一个有限元模型来研究由于给定源引起的兰姆波运动的频域正问题,从而建立了源深度与幅度比之间的关系。弹性动力学理论用于在频域验证模型,并推导出一个传感器调谐因子,该因子可以被纳入解决方案中。所提出的算法在两个板状试样上进行了测试:6061-T6 铝合金板和 2025-T6 铝合金飞机机身壁板。通过在试样边缘以 Hsu-Nielsen 铅笔折断的形式在各种深度处生成受控的 AE 源来验证算法。在铝合金板中,真实和估计的源深度之间存在很好的一致性。在机身壁板中,真实值和估计值之间的准确性略有下降。然而,这两种实验情况都证明了该算法能够区分起源于板状结构中部附近的源与起源于表面附近的源的能力。最后,反演算法的快速计算显示了在实时监测应用中具有很强的潜力。

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